{"id":"W3091195153","doi":"10.1186/s40560-020-00494-9","title":"Sex-specific prevalence and outcomes of frailty in critically ill patients","year":2020,"lang":"en","type":"article","venue":"Journal of Intensive Care","topic":"Frailty in Older Adults","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health; University of Calgary; University of Alberta; Alberta Health Services","funders":"Canadian Frailty Network; Alberta Health Services","keywords":"Medicine; Propensity score matching; Odds ratio; Confidence interval; Logistic regression; Cohort; Cohort study; Population; Retrospective cohort study; Proportional hazards model; Internal medicine; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00005637656,0.0001137273,0.0005045849,0.00009110083,0.00001056631,0.000006888062,0.000097516,0.00006547203,0.00005181182],"category_scores_gemma":[0.01376687,0.00008579909,0.0001050844,0.00009914015,0.0001129398,0.0000938936,0.00005234824,0.0003471718,0.000003246064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006333509,"about_ca_system_score_gemma":0.00005569775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003953973,"about_ca_topic_score_gemma":0.000002455382,"domain_scores_codex":[0.9988026,0.00003533361,0.0005429045,0.0001293129,0.0003569143,0.0001329036],"domain_scores_gemma":[0.978444,0.0001547349,0.0001743067,0.0001088692,0.02093277,0.0001853516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002614321,0.00004620827,0.9735134,0.0005045385,0.000054202,0.0002328001,0.009863604,0.0000019463,0.001428843,0.00001168934,0.008688167,0.005393169],"study_design_scores_gemma":[0.002880946,0.001466392,0.9689394,0.000893278,0.00005871617,0.00007258826,0.02102287,0.00001319596,0.003039659,0.00002338906,0.001497183,0.00009234661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812798,0.00163614,0.00004289637,0.01640042,0.0001997667,0.0001668243,0.00003165577,0.000004532284,0.0002379787],"genre_scores_gemma":[0.9779192,0.0002436974,0.000734975,0.02096689,0.00007333294,7.20279e-7,0.00000233727,0.00001236154,0.00004653315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02057585,"threshold_uncertainty_score":0.9945406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03065457812930937,"score_gpt":0.297542240962224,"score_spread":0.2668876628329146,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}